Evaluation of Non-Collocated Force Feedback Driven by Signal-Independent Noise
Zonghe Chua, Allison M. Okamura, Darrel R. Deo

TL;DR
This study investigates how signal-independent noise affects non-collocated haptic feedback in neural prostheses, revealing users' adaptive responses and thresholds for noise disturbance during virtual object localization tasks.
Contribution
It provides experimental insights into the impact of noise on non-collocated haptic feedback systems, informing control strategies for iBCI-based prostheses.
Findings
Higher noise levels increase localization errors.
Users adapt by increasing exploratory movements.
There is a threshold of disturbance rejection.
Abstract
Individuals living with paralysis or amputation can operate robotic prostheses using input signals based on their intent or attempt to move. Because sensory function is lost or diminished in these individuals, haptic feedback must be non-collocated. The intracortical brain computer interface (iBCI) has enabled a variety of neural prostheses for people with paralysis. An important attribute of the iBCI is that its input signal contains signal-independent noise. To understand the effects of signal-independent noise on a system with non-collocated haptic feedback and inform iBCI-based prostheses control strategies, we conducted an experiment with a conventional haptic interface as a proxy for the iBCI. Able-bodied users were tasked with locating an indentation within a virtual environment using input from their right hand. Non-collocated haptic feedback of the interaction forces in the…
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